Data Engineer Sr

Standard Job Description Our amazing people are on a mission to make a difference in the world and every single day we use our skills and experiences to create, design and build solutions to some of the worlds’ hardest engineering problems. This position is for a Data Engineer Staff within the Lockheed Martin Chief Data and Analytics Office (CDAO) supporting Space System’s Business Innovation, Transformation and Enterprise Excellence (BITEE) Organization – Data & Analytics COE. This is a great opportunity for someone who is looking to work in a fast-paced data organization where the latest technologies will be developed and applied. We are looking for someone with strong hands on experience in all layers of data integration and analytics to support our various efforts. The ideal candidate has experience and a solid understanding of delivering full-stack data solutions across the entire data processing pipeline. The work location for this position is virtual. Duties and responsibilities include, but are not limited to: - Exhibit a degree of ingenuity, creativity, proactiveness, and resourcefulness when collecting, processing, and making data available for analysis while working within an agile environment - - Collaborate across Business Transformation to strategize and implement common business processes and systems design for Data Warehouse & Analytics - Work through all stages of data pipeline to discover, analyze, model, digest, clean, curate, secure, aggregate, and catalog unorganized & organized data at scale and at speed - Develop solutions across data fabric for interoperability between current and emerging technologies in alignment with Space and Enterprise reference architectures - US Citizenship Required Delivers full-stack data solutions across the entire data processing pipeline. This relies on systems engineering principles to design and implement solutions that span the data lifecycle to: collect, ingest, process, store, persist, access, and deliver data at scale and at speed. It includes knowledge of local, distributed, and cloud-based technologies; data virtualization and smart caching; and all security and authentication mechanisms required to protect the data.Build data pipelines that clean, transform, and aggregate unorganized data into databases or data sources that are ready for analysis; Design and implement data solutions by defining functional capabilities, security, back-up, and recovery specifications; Work through all stages of a...

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